It’s too bad there’s a glut of consumer mHealth out there right now, same can be said for CES. We have a ton of “me too’s” so again the incubator folks would do well to incubate with themselves and create apps that do more than one thing. Problem is that the consumer is very slow to adapt and see value as everything wants the consumer to give time but little value has been proven yet.

Now if you want value and a vehicle, get those bar codes out on FDA recalls and they you would see more of a consumer interest. I have been blogging about this same topic for a few years and wrote an EMR a few years ago myself and it’s the same old stuff and marketing today really puts a spin on it with math no longer being 100% methodology for measuring accuracy.

It’s all about more algorithms to sell more software which in itself i not bad but so much glut and lack of consumer participation and we don’t have any role models either. I can’t even find so much as a picture of HHS Sebeluis on the web with as much as a cell phone in her hand:) Bar codes for FDA recalls would have value and engage consumers and in addition we all worry about who gathers and sells data.

Actually every time a buy a tire for my car I think about the billions made with selling data as Walgreens said their data selling business is worth just under $800 million, data they get for free and some states have had to install software to keep the data mining bots out as the servers slow down to a crawl and consumers can’t get in and this is what it was set up for.

Most consumer apps today are built around advertising and selling data too so I say license and tax those folks, like a sales tax for what they get to sell “free taxpayer data” they mine. It will all choke out one day here.

So again based on these side effects I too don’t have a lot of interest as I know when I read the fine print it’s all about making money selling algorithms, whether the data is correct or flawed. There’s plenty of good but with the current economy today, it’s the Attack of the Killer Algorithms to watch for with flawed data and hopefully our new Consumer Financial Chief will have a “tiny” bit of IT in his background. If not, we are screwed as corporate US knows how work it and with machine learning data we are somewhat writing the unreadable too, words credited from Kevin Slavin.